MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection

@article{Doshi2016MUSEMR,
  title={MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection},
  author={Jimit Doshi and G{\"u}ray Erus and Yangming Ou and Susan M. Resnick and Ruben C. Gur and Raquel E. Gur and Theodore D. Satterthwaite and Susan Furth and Christos Davatzikos},
  journal={NeuroImage},
  year={2016},
  volume={127},
  pages={186-195}
}
Atlas-based automated anatomical labeling is a fundamental tool in medical image segmentation, as it defines regions of interest for subsequent analysis of structural and functional image data. The extensive investigation of multi-atlas warping and fusion techniques over the past 5 or more years has clearly demonstrated the advantages of consensus-based… CONTINUE READING